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Found 3 papers, 1 papers with code
WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose
The resulting Wide Headpose Estimation Network (WHENet) is the first fine-grained modern method applicable to the full-range of head yaws (hence wide) yet also meets or beats state-of-the-art methods for frontal head pose estimation.
Ranked #3 on
Head Pose Estimation
on BIWI
Primal-Dual Optimization for Fluids
While our method is generally applicable to many problems in fluid simulations, we focus on the two topics of fluid guiding and separating solid-wall boundary conditions.
Graphics I.6.8; I.3.7; G.1.6
Stochastic Deconvolution
We present a novel stochastic framework for non-blind deconvolution based on point samples obtained from random walks.
